Centralized clinical monitoring and oversight websites is a data problem, right? And to address this it needs a data science approach towards solution development. Today we rely more on central data review than ever, and also the amount of data that we have access to has significantly grown. We brought the intelligence around risk scores and key indicators together into an integrated platform that will help us to support on our mission towards continuously improving the conduct of clinic clinical trials. Data is the key element. Be it in a different ways that we have to see the data processes the data in order to show not only what is today, but also how the things will look in the days to come when you actually use artificial intelligence to predict site and risk workload. With this proactive and predictive approach, it really augments the way and empowers the end users to do effective site monitoring. We need to stop the variation of our processes. We need to have much more stable processes in one or the other way. I think that the technology with artificial intelligence, machine learning and especially MBL will be able to bring us that better, deeper insight from inspections. COVID really, really forced us to think. Think quickly and pivot and adjust and implement some new processes that we quite frankly had been thinking about for several years and technology played a key role in that. We think that blockchain can really help. Support the collection of evidence or data that is reliable, traceable, and verifiable. You'll always have to make sure your architecture stands out today, but also. For the foreseeable future.